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Published on: August 7, 2017
Identifying the components of asthma health status in children with mild to moderate asthma
Elizabeth W Holt1, Earl Francis Cook, Ronina A Covar
1Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. eholt@tulane.edu
Insights
Asthma health status comprises distinct components, not overlapping ones. Factor analysis in children revealed a consistent 5-factor structure, including inflammatory markers, symptoms, exacerbations, lung function, and bronchodilator response, aiding asthma assessment.
Area of Science:
- Pediatric Pulmonology
- Respiratory Medicine
- Clinical Trials
Background:
- Asthma health status measurements show weak correlations, indicating distinct disease components.
- Understanding these components is crucial for accurate asthma assessment and management.
Purpose of the Study:
- To identify heterogeneous components of asthma health status in children aged 5-12 using factor analysis.
- To explore relationships between asthma morbidity measures across different time points and treatment groups.
Main Methods:
- Factor analysis applied to data from a large clinical trial of 1041 children with mild to moderate asthma.
- Included measures of lung function, symptoms, healthcare utilization, IgE, eosinophils, airway hyperresponsiveness, fractional exhaled nitric oxide, and sputum markers.
- Analyses conducted across 7 study windows, comparing baseline and 48-month data.
Main Results:
- Factor analysis consistently identified 5 factors explaining 50-60% of common variance.
- These factors represent: inflammatory markers, symptoms/medication use, asthma exacerbations, lung function (FEV1/FVC), and bronchodilator response.
- Fractional exhaled nitric oxide correlated with the inflammatory marker factor; sputum markers suggested a sixth factor.
Conclusions:
- A consistent 5-factor structure for asthma health status was identified across time and treatment arms.
- Each identified factor provides independent information for assessing childhood asthma.
- This multidimensional approach enhances the understanding of asthma heterogeneity.
Background:
Weak and inconsistent correlations between measurements of asthma health status suggest that the disease is composed of nonoverlapping components.
Objective:
Factor analysis was used to explore the relationships between measures of asthma morbidity and to identify heterogeneous components of asthma health status in children 5 to 12 years old. Results were compared across time (baseline and 48-month visit) and treatment arms.
Methods:
Analyses were conducted in 7 different study windows in a database from a large clinical trial of children with mild to moderate asthma (n = 1041). Measurements of lung function, symptoms, and health care utilization from daily diary cards, serum IgE levels, total eosinophil count, skin test positivity, and airway hyperresponsiveness were included. Data on fractional exhaled nitric oxide and sputum eosinophil cationic protein were included in a subgroup of patients.
Results:
In each of the study windows, factor analysis identified 5 factors that explained between 50% and 60% of the common variance. Factors identified included (1) inflammatory markers, (2) symptoms/medication use, (3) asthma exacerbations, and measures of lung function, which subdivided into (4) FEV(1) and forced vital capacity, and (5) bronchodilator response and the FEV(1)/forced vital capacity ratio. Exploratory analyses suggest that fractional exhaled nitric oxide account for the atopy/inflammatory marker factor, and sputum measurements account for a sixth, separate factor.
Conclusion:
The consistent identification of a 5-factor structure across time and treatment arms suggests that each of these factors provides independent information in the assessment of asthma.
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